Free eBooks on Hadoop, Deep Learning and DataViz by Packt

Get everything you need to know to enter the world of deep learning when it comes to R with this book. Get started from the packages you need to have for your side, building models related to neural networks, prediction, and deep prediction, to fine tuning and optimizing everything you have.

Hadoop is one of the most important technologies in a world that is built on data. Find out how it has developed and progressed to address the continuing challenge of Big Data with this insightful guide.

What you will learn:

Find out how Hadoop has changed with the data landscape, as organizations around the world have come to rely upon its speed and dynamism

Learn how MapReduce organizes and processes large sets of data and how this informs Hadoop

Discover the advantages of Hadoop - from scalability to security, see how Hadoop handles huge amounts of data with care

This book contains clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications.

Start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps. Learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Get to grips with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage.

Install and adopt TensorFlow in your Python environment to solve mathematical problems, get to know basic machine and deep learning concepts, and more.

What you will learn:

Start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps

Learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior

Get to grips with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage